The Production Agent Build ships the agent, its integrations and a human exception queue in 4–10 weeks, with evals and monitoring running from the first day rather than bolted on at the end. Most agent projects stall because nobody can prove the thing is right. We ship the proof alongside the system.
Integrated with the systems the work already flows through: TMS, ERP, CRM, inbox, document store, or your own product. Permissions and error handling built for real volume.
Confidence thresholds route the uncertain cases to a person instead of guessing. The goal is to remove the routine ninety percent, not to pretend the last ten does not exist.
A golden set and a scoring run that gates every change. When a prompt or a model is updated, you know whether accuracy moved before it reaches production.
Every extraction traceable to its source document and page, every automated action logged with its inputs, and live quality metrics from launch.
Documentation your team can operate from, plus thirty days of post-launch support. Full IP transfer on final payment.
Because without one you cannot answer the only question that matters: is it still right? Models change, prompts get edited, document formats drift. A system with no test set degrades silently, and in regulated work silent degradation is the expensive kind.
The number of integrations, document families or tools, and the accuracy bar the workflow needs. Scope and fee are fixed in writing before the build starts, from the pilot or audit evidence.
Yes. The shape is the same: the feature, the integrations into your codebase, an exception path for low-confidence cases, and evals in your CI so your team can keep shipping changes safely.
The systems the work already flows through: TMS, ERP, CRM, document stores, and email. Where there is an API we use it; where there is not, we work with exports and file drops rather than pretending the integration is clean.
You find out during the build, from the golden set, rather than in production. We would rather narrow the scope to the part that works than ship something nobody trusts.
Entry · Operations · 2 weeks
The Workflow Pilot is a two-week, fixed-scope engagement: we build a working extraction or decision pipeline for one workflow, run it on your real documents, and measure its accuracy on about 200 samples. Nobody should sign a build contract to find out whether an AI system can handle their paperwork.
Ongoing · Monthly
The Reliability Retainer keeps a production agent accurate after launch: regression runs on every change and every model release, judge recalibration as your traffic shifts, prompt and tool fixes, and a monthly report on where quality stands. Document formats change, user behaviour drifts, models get deprecated. Something has to notice.
Next step
Audit the agent you already run, or pilot one workflow on your own documents. Either way, you leave with a number you can check.